A comparative assessment of aggregate car ownership model estimation methodologies
AbstractThis work examines the implications of advances in time series analysis on car ownership modeling in Greece. Variables include adults population ratio, GDP per capita, car occupancy, bus kilometers, inflation and unemployment. We developed and compared (a) a classical regression model estimated on raw levels, (b) an econometric model estimated on data stationarized using graphical and unit root tests and (c) an "atheoretical" ARIMA model. Although significant methodological implications were noted, all models forecast 48 to 49 private cars per 100 inhabitants by the year 2010, a development of momentous energy and environmental implications.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 52294.
Date of creation: 19 May 2006
Date of revision:
car ownership; aggregate models; regression; time series analysis; forecasting.;
Find related papers by JEL classification:
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
- L99 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Other
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- Giovanni Baiocchi & Walter Distaso, 2003. "GRETL: Econometric software for the GNU generation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 105-110.
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